{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e2067b47",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import json\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path\n",
    "from collections import defaultdict\n",
    "from collections import Counter\n",
    "from difflib import get_close_matches\n",
    "import unicodedata\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "35089d89",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def show_results(root_dir):\n",
    "    summary_results = []\n",
    "    total_json_count = 0\n",
    "    all_model_paths = []\n",
    "\n",
    "    # === Traverse and summarize ===\n",
    "    for group_dir in sorted(root_dir.iterdir()):\n",
    "        if not group_dir.is_dir():\n",
    "            continue\n",
    "\n",
    "        metrics_list = []\n",
    "\n",
    "        for subdir in group_dir.iterdir():\n",
    "            if not subdir.is_dir():\n",
    "                continue\n",
    "\n",
    "            json_file = subdir / \"results.json\"\n",
    "            if json_file.exists():\n",
    "                total_json_count += 1\n",
    "                with open(json_file, \"r\") as f:\n",
    "                    data = json.load(f)\n",
    "                    data[\"group\"] = group_dir.name\n",
    "                    metrics_list.append(data)\n",
    "                    all_model_paths.append(data.get(\"model_path\", \"unknown\"))\n",
    "\n",
    "        if metrics_list:\n",
    "            df = pd.DataFrame(metrics_list)\n",
    "            df_mean = df.drop(columns=[\"dataset\", \"freq\", \"model_path\"]).mean(numeric_only=True)\n",
    "            df_mean[\"group\"] = group_dir.name\n",
    "            summary_results.append(df_mean)\n",
    "\n",
    "    # === Combine summaries ===\n",
    "    summary_df = pd.DataFrame(summary_results)\n",
    "    summary_df.sort_values(\"group\", inplace=True)\n",
    "\n",
    "    # === Display summary table ===\n",
    "    print(\"\\n📊 Summary of Mean Metrics per Dataset Group:\")\n",
    "    display(summary_df)\n",
    "\n",
    "    # === Compute overall global mean across all groups ===\n",
    "    global_means = summary_df.drop(columns=[\"group\"]).mean(numeric_only=True)\n",
    "    print(\"\\n📌 Global Mean Across All Groups:\")\n",
    "    print(global_means.round(4))\n",
    "\n",
    "    # === Determine model name to display in title ===\n",
    "    model_name = Counter(all_model_paths).most_common(1)[0][0] if all_model_paths else \"Unknown Model\"\n",
    "\n",
    "    # === Visualization ===\n",
    "    plt.figure(figsize=(12, 6))\n",
    "    for metric in [\"mse\", \"mae\", \"smape\", \"wape\", \"nrmse\"]:\n",
    "        if metric in summary_df.columns:\n",
    "            plt.plot(summary_df[\"group\"], summary_df[metric], marker='o', label=metric)\n",
    "\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.xlabel(\"Dataset Group\")\n",
    "    plt.ylabel(\"Metric Value\")\n",
    "    plt.title(f\"Average Forecasting Metrics by Dataset Group\\nModel: {model_name} pred len: {summary_df['pred_len'][0]} context len: {summary_df['context_len'][0]}\")\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "    # === Total json count ===\n",
    "    print(f\"\\n🔢 Total number of results.json files found: {total_json_count}\")\n",
    "\n",
    "    return summary_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5523b057",
   "metadata": {},
   "source": [
    "## Display results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0747f6a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "📊 Summary of Mean Metrics per Dataset Group:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mse</th>\n",
       "      <th>smape</th>\n",
       "      <th>mae</th>\n",
       "      <th>wape</th>\n",
       "      <th>nrmse</th>\n",
       "      <th>num_elements</th>\n",
       "      <th>abs_sum</th>\n",
       "      <th>total_time</th>\n",
       "      <th>pred_len</th>\n",
       "      <th>context_len</th>\n",
       "      <th>group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.057177</td>\n",
       "      <td>0.216769</td>\n",
       "      <td>0.116465</td>\n",
       "      <td>0.147404</td>\n",
       "      <td>0.287847</td>\n",
       "      <td>3173.333333</td>\n",
       "      <td>2622.283529</td>\n",
       "      <td>4.675362</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>crypto10_1d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.009019</td>\n",
       "      <td>0.160679</td>\n",
       "      <td>0.060391</td>\n",
       "      <td>0.070695</td>\n",
       "      <td>0.109820</td>\n",
       "      <td>20360.000000</td>\n",
       "      <td>17353.266602</td>\n",
       "      <td>29.570741</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>crypto10_1h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.011350</td>\n",
       "      <td>0.175142</td>\n",
       "      <td>0.068277</td>\n",
       "      <td>0.079191</td>\n",
       "      <td>0.123429</td>\n",
       "      <td>8333.333333</td>\n",
       "      <td>7184.560872</td>\n",
       "      <td>11.782926</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>crypto10_1m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.031823</td>\n",
       "      <td>0.235612</td>\n",
       "      <td>0.124985</td>\n",
       "      <td>0.141416</td>\n",
       "      <td>0.201452</td>\n",
       "      <td>6420.000000</td>\n",
       "      <td>5675.617920</td>\n",
       "      <td>9.071356</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>forex_datasets_1d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.014320</td>\n",
       "      <td>0.179473</td>\n",
       "      <td>0.075353</td>\n",
       "      <td>0.089168</td>\n",
       "      <td>0.136627</td>\n",
       "      <td>20226.666667</td>\n",
       "      <td>17314.160807</td>\n",
       "      <td>28.351020</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>forex_datasets_1h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.033625</td>\n",
       "      <td>0.240453</td>\n",
       "      <td>0.118158</td>\n",
       "      <td>0.137976</td>\n",
       "      <td>0.202576</td>\n",
       "      <td>11680.000000</td>\n",
       "      <td>10106.773763</td>\n",
       "      <td>16.310780</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>forex_datasets_1m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.207560</td>\n",
       "      <td>0.627477</td>\n",
       "      <td>0.305761</td>\n",
       "      <td>0.400086</td>\n",
       "      <td>0.608434</td>\n",
       "      <td>1520.000000</td>\n",
       "      <td>1196.905497</td>\n",
       "      <td>2.241786</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>forex_datasets_1wk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.035448</td>\n",
       "      <td>0.339468</td>\n",
       "      <td>0.119272</td>\n",
       "      <td>0.156550</td>\n",
       "      <td>0.232986</td>\n",
       "      <td>6760.000000</td>\n",
       "      <td>5121.516357</td>\n",
       "      <td>9.417976</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>futures_datasets_1d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.011307</td>\n",
       "      <td>0.152724</td>\n",
       "      <td>0.068169</td>\n",
       "      <td>0.078422</td>\n",
       "      <td>0.122328</td>\n",
       "      <td>15640.000000</td>\n",
       "      <td>13595.334961</td>\n",
       "      <td>22.070462</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>futures_datasets_1h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.183775</td>\n",
       "      <td>0.343791</td>\n",
       "      <td>0.198614</td>\n",
       "      <td>0.243237</td>\n",
       "      <td>0.347837</td>\n",
       "      <td>8633.333333</td>\n",
       "      <td>7449.247111</td>\n",
       "      <td>12.203984</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>futures_datasets_1m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.094835</td>\n",
       "      <td>0.351465</td>\n",
       "      <td>0.228974</td>\n",
       "      <td>0.275843</td>\n",
       "      <td>0.370988</td>\n",
       "      <td>1520.000000</td>\n",
       "      <td>1261.736206</td>\n",
       "      <td>2.535732</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>futures_datasets_1wk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.061454</td>\n",
       "      <td>0.353046</td>\n",
       "      <td>0.150940</td>\n",
       "      <td>0.198030</td>\n",
       "      <td>0.288830</td>\n",
       "      <td>6178.666667</td>\n",
       "      <td>4933.938480</td>\n",
       "      <td>8.889703</td>\n",
       "      <td>10.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>stock_datasets_1d</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         mse     smape       mae      wape     nrmse  num_elements  \\\n",
       "0   0.057177  0.216769  0.116465  0.147404  0.287847   3173.333333   \n",
       "1   0.009019  0.160679  0.060391  0.070695  0.109820  20360.000000   \n",
       "2   0.011350  0.175142  0.068277  0.079191  0.123429   8333.333333   \n",
       "3   0.031823  0.235612  0.124985  0.141416  0.201452   6420.000000   \n",
       "4   0.014320  0.179473  0.075353  0.089168  0.136627  20226.666667   \n",
       "5   0.033625  0.240453  0.118158  0.137976  0.202576  11680.000000   \n",
       "6   0.207560  0.627477  0.305761  0.400086  0.608434   1520.000000   \n",
       "7   0.035448  0.339468  0.119272  0.156550  0.232986   6760.000000   \n",
       "8   0.011307  0.152724  0.068169  0.078422  0.122328  15640.000000   \n",
       "9   0.183775  0.343791  0.198614  0.243237  0.347837   8633.333333   \n",
       "10  0.094835  0.351465  0.228974  0.275843  0.370988   1520.000000   \n",
       "11  0.061454  0.353046  0.150940  0.198030  0.288830   6178.666667   \n",
       "\n",
       "         abs_sum  total_time  pred_len  context_len                 group  \n",
       "0    2622.283529    4.675362      10.0        128.0           crypto10_1d  \n",
       "1   17353.266602   29.570741      10.0        128.0           crypto10_1h  \n",
       "2    7184.560872   11.782926      10.0        128.0           crypto10_1m  \n",
       "3    5675.617920    9.071356      10.0        128.0     forex_datasets_1d  \n",
       "4   17314.160807   28.351020      10.0        128.0     forex_datasets_1h  \n",
       "5   10106.773763   16.310780      10.0        128.0     forex_datasets_1m  \n",
       "6    1196.905497    2.241786      10.0        128.0    forex_datasets_1wk  \n",
       "7    5121.516357    9.417976      10.0        128.0   futures_datasets_1d  \n",
       "8   13595.334961   22.070462      10.0        128.0   futures_datasets_1h  \n",
       "9    7449.247111   12.203984      10.0        128.0   futures_datasets_1m  \n",
       "10   1261.736206    2.535732      10.0        128.0  futures_datasets_1wk  \n",
       "11   4933.938480    8.889703      10.0        128.0     stock_datasets_1d  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "📌 Global Mean Across All Groups:\n",
      "mse                0.0626\n",
      "smape              0.2813\n",
      "mae                0.1363\n",
      "wape               0.1682\n",
      "nrmse              0.2528\n",
      "num_elements    9203.7778\n",
      "abs_sum         7817.9452\n",
      "total_time        13.0935\n",
      "pred_len          10.0000\n",
      "context_len      128.0000\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🔢 Total number of results.json files found: 256\n"
     ]
    },
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '/home/vincent-4090/Documents/GitHub/FC_LCRF/results/stock_eval/Fincast_v1_ct128/h30'",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mFileNotFoundError\u001b[39m                         Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[7]\u001b[39m\u001b[32m, line 9\u001b[39m\n\u001b[32m      7\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m L:\n\u001b[32m      8\u001b[39m         result_p = Path(\u001b[33mr\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[33m/h\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[33m\"\u001b[39m.format(result_csv_path, \u001b[38;5;28mstr\u001b[39m(i)))  \u001b[38;5;66;03m#\\ for windows fs, / for linux :)\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m9\u001b[39m         df = show_results(result_p)\n",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 7\u001b[39m, in \u001b[36mshow_results\u001b[39m\u001b[34m(root_dir)\u001b[39m\n\u001b[32m      4\u001b[39m all_model_paths = []\n\u001b[32m      6\u001b[39m \u001b[38;5;66;03m# === Traverse and summarize ===\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m7\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m group_dir \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28msorted\u001b[39m(root_dir.iterdir()):\n\u001b[32m      8\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m group_dir.is_dir():\n\u001b[32m      9\u001b[39m         \u001b[38;5;28;01mcontinue\u001b[39;00m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/miniconda3/envs/ffm_dc/lib/python3.11/pathlib.py:931\u001b[39m, in \u001b[36mPath.iterdir\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m    927\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34miterdir\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[32m    928\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"Iterate over the files in this directory.  Does not yield any\u001b[39;00m\n\u001b[32m    929\u001b[39m \u001b[33;03m    result for the special paths '.' and '..'.\u001b[39;00m\n\u001b[32m    930\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m931\u001b[39m     \u001b[38;5;28;01mfor\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m os.listdir(\u001b[38;5;28mself\u001b[39m):\n\u001b[32m    932\u001b[39m         \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mself\u001b[39m._make_child_relpath(name)\n",
      "\u001b[31mFileNotFoundError\u001b[39m: [Errno 2] No such file or directory: '/home/vincent-4090/Documents/GitHub/FC_LCRF/results/stock_eval/Fincast_v1_ct128/h30'"
     ]
    }
   ],
   "source": [
    "#show results for experiment 4.1, comparison to zero-shot methods\n",
    "\n",
    "result_csv_path = \"/home/vincent-4090/Documents/GitHub/FC_LCRF/results/stock_eval/Fincast_v1_ct128\"    #folder path to the results\n",
    "\n",
    "\n",
    "L = [10, 30, 60]\n",
    "for i in L:\n",
    "        result_p = Path(r\"{}/h{}\".format(result_csv_path, str(i)))  #\\ for windows fs, / for linux :)\n",
    "        df = show_results(result_p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae554485",
   "metadata": {},
   "outputs": [],
   "source": [
    "#show results for experiment 4.2, comparison to supervised methods\n",
    "\n",
    "result_csv_path = \"results/stock_eval/Fincast_v1_ct128\"    #folder path to the results\n",
    "\n",
    "\n",
    "L = [10, 20, 40, 60]\n",
    "for i in L:\n",
    "        result_p = Path(r\"{}\\h{}\".format(result_csv_path, str(i)))  #\\ for windows fs, / for linux :)\n",
    "        df = show_results(result_p)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ffm_dc",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
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